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Vector databases have gained momentum because they can address these challenges Again, the key value proposition for these systems is their ability to efficiently store, manage, and retrieve unstructured data using the pattern we laid out above. These modern databases enable machines to store and search data by meaning, not just by literal words Instead of matching characters in text, they rely on semantic embeddings — mathematical representations of meaning — allowing ai systems to understand content the way humans intuitively do.
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